DevSecOps Engineer: Cloud, IaC & CI/CD Automation

United States Digital Space LLC; United States; Remote; USD 120,000 - 144,000; Full time

Job summary

Sev1Tech and ERT seeks a DevSecOps Engineer to join the team supporting the DoD and US Navy. The role emphasizes automation, IaC, and secure platform design in a heterogeneous environment, enabling a shared system of systems for software development and testing.

The engineer will develop GitLab pipelines, Terraform configurations across AWS, automate Kubernetes, and validate information assurance controls while collaborating with cloud teams and project work streams.

Qualifications

• Six years of systems or software experience including design, development, verification or deployment.
• Active DoD 8570.1-M IAT Level II or higher certification (or ability to obtain).
• US Citizenship required.

Responsibilities

• Develops GitLab CI/CD Pipelines.
• Designs, builds and maintains modular IaC configurations using Terraform across AWS.
• Automates configurations within Kubernetes and supports cloud networking and routing for DNS/TLS/Ingress.
• Maintains and hardens base images; documents IA controls and validation procedures per DoD/NIST guidelines.
• Performs validation, troubleshooting and documentation for DevSecOps efforts; documents processes for cloud teams.

Skills

DevSecOps Engineering

CI/CD

Terraform

AWS

Kubernetes

Docker

Information Assurance

DoD 8570 compliant certifications

SRE / Operations Engineering

Security+ or equivalent certification

Education

High School diploma or GED

Technical IT training

Tools

GitLab

Jenkins

HashiCorp Vault

Argo CD

Red Hat Enterprise Linux

Amazon EKS

AWS CloudFormation

Job description

Sev1Tech and ERT seeks a DevSecOps Engineer to join the team supporting the DoD and US Navy. The role emphasizes automation, IaC, and secure platform design in a heterogeneous environment, enabling a shared system of systems for software development and testing.

The engineer will develop GitLab pipelines, Terraform configurations across AWS, automate Kubernetes, and validate information assurance controls while collaborating with cloud teams and project work streams.